NovaMechanics Ltd (NovaM) is an innovative SME from Cyprus specialising in data-driven modelling, artificial intelligence, and digital platforms for chemicals and materials research. The company develops advanced computational tools and decision-support systems that integrate data-driven and physics-based approaches, enabling predictive, explainable, and scalable solutions across the full innovation lifecycle of materials and chemicals. NovaMechanics has strong expertise in cheminformatics, bioinformatics, nanoinformatics, in silico toxicology, machine learning, multi-scale modelling, and FAIR data infrastructures, and has participated in and coordinated numerous EU and national R&I projects focused on Safe-and-Sustainable-by-Design (SSbD) approaches.
Expertise and key competencies
- Data analytics and machine learning, including QSAR/QSPR modelling, uncertainty quantification, domain of applicability, and model validation
- Automated machine learning (AutoML) pipelines for model development, optimisation, deployment, and lifecycle management
- Generative AI and advanced AI workflows for chemical and materials design and optimisation
- Physics-based modelling and integration of simulation outputs with data-driven models
- Digital platforms and cloud infrastructures, including scalable APIs, microservices, and containerised solutions
- FAIR data, model, and software implementation, interoperability, and semantic integration
- Decision-support systems and advanced data visualisation for industrial and regulatory use cases
Role in the PINK Project
NovaMechanics supports the PINK project by developing and integrating data-driven predictive models and computational workflows for assessing functionality, safety, and sustainability, and by enabling AI-driven search and optimisation capabilities within the overall SSbD workflow. NovaMechanics also leads the implementation of the PINKISH platform as a distributed, cloud-based infrastructure built on microservices and REST APIs, ensuring secure user management, harmonised user experience, and seamless interaction between platform components and services. In addition, it delivers the technical foundations for interoperability and deployment (including container-based approaches), and develops advanced data visualisation functionalities such as dashboards and digital material passport concepts to support evaluation, comparison, and information exchange along value chains. Finally, NovaMechanics contributes to the software infrastructure required for automated generation, validation, and deployment of new predictive models, and supports activities that promote uptake, sustainability, and long-term use of the integrated platform and its methods by industrial stakeholders.
NovaMechanics develops and maintains
- Enalos Cloud Platform: a cloud-based environment hosting predictive models, AI services, and decision-support tools https://www.enaloscloud.novamechanics.com/
- Isalos Analytics Platform: a no-code/low-code platform for automated data analysis, machine learning, and model deployment https://www.docs.isalos.novamechanics.com/
- Enalos APIs and microservices enabling seamless integration of models, workflows, and external tools into digital ecosystems
- Asclepios KNIME Nodes: a comprehensive set of KNIME-integrated nodes that provide ready-to-use workflows, analytics components, and connectors to NovaMechanics’ modelling capabilities, enabling streamlined molecular docking & dynamics, predictive analytics and model execution within the KNIME ecosystem
